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Record W2129593291 · doi:10.3390/f3010001

Latent Demand and Time Contextual Constraints to Outdoor Recreation in Sweden

2011· article· en· W2129593291 on OpenAlexaff
Peter Fredman, Ulla Romild, Mike Yuan, Daniel Wolf-Watz

Bibliographic record

VenueForests · 2011
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsLakehead University
Fundersnot available
KeywordsRecreationPromotion (chess)GeographyPopulationTourismBusinessEnvironmental planningSociologyPolitical scienceDemography

Abstract

fetched live from OpenAlex

This study analyzes the latent demand to outdoor recreation participation and identifies what factors are constraining people from realizing this demand. In Sweden, recreation in the outdoors is seen as a public right as articulated in public policy and much of the outdoor recreation centre around forested landscapes—over 60 percent of the land area is classified as forest. Using data from a nationwide survey of 43 recreation activities, the study takes a time-contextual approach to reveal variations in recreation constraints across weekdays, weekends and holidays. Results show that almost half the population has a latent demand to increase their participation in outdoor recreation. Three categories of time contextual constraints are identified and several of the constraints studied show variations across outdoor activities and socio-economic factors. Practical implications for the promotion of outdoor recreation participation by public agencies, recreation managers and tourism businesses are discussed based on the study findings.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.053
GPT teacher head0.311
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations27
Published2011
Admission routes1
Has abstractyes

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